The dataset contains full time series of satellite and radar images,
weather models and ground observations.
To keep the dataset at a reasonable size, the data covers two geographic
areas of 550km x 550km on the Mediterranean and Brittany coasts, and spans
over 3 years, 2016 to 2018.
We have prepared this free dataset to let the data science community play with it.
Explore it today!
[Tube Environment] ───> [Psychological Isolation] ───> [Thriller / Horror Genres] [Hidden Infrastructure] ───> [Sci-Fi / Alternate History] Horror and Thrillers: The Fear of the Dark
Social media accounts like "Tube Portraits" or various "Seen on the Tube" pages capture the fashion, eccentricities, and quiet moments of London commuters. These platforms turn everyday citizens into characters within an ongoing, crowd-sourced narrative of urban life.
Pop and rock music frequently reference tube lines to evoke specific moods. The Jam’s "Down in the Tube Station at Midnight" uses the setting to critique urban isolation and political tension. Similarly, Duffy’s "Warwick Avenue" utilizes a specific station name to anchor a narrative of heartbreak and transition. Literature and the Psychology of the Commute sex tube xxx com work
Audiences increasingly prefer the authentic, relatable feel of YouTube creators over the polished, distant feel of traditional celebrities, notes Insider.
Director Alfred Hitchcock recognized the cinematic potential of the Tube early in his career. His 1929 silent film Blackmail used the Underground to heighten suspense, establishing a visual vocabulary that filmmakers still use today. The Tube’s unique architecture—tunnels, escalators, and platform edges—inherently creates a sense of geometric entrapment and voyeurism. The Jam’s "Down in the Tube Station at
Major studios now scout YouTube for acting talent. Timothée Chalamet is a movie star; but Quenlin Blackwell or Dylan Lemay have fanbases that translate directly to box office tickets. When a popular media franchise (like The Suicide Squad or Free Guy ) employs streamers for cameos, they are not paying for acting chops; they are paying for access to the tube worker's audience.
The most significant impact of digital video platforms is the . For decades, media was controlled by "gatekeepers"—studios and networks that decided which voices were heard. Today, the creator economy , projected to be worth half a trillion dollars, allows individuals to build massive global audiences without traditional backing. creating a symbiotic—and often competitive—relationship.
Given my guidelines, I cannot produce content that promotes, facilitates access to, or describes explicit adult material. That's a firm boundary. But I don't want to just say "no" and leave the user with nothing. Maybe there's a legitimate, non-explicit angle here.
The London Underground, universally known as the Tube, is more than a transit network. It is a cultural ecosystem. Spanning over 250 miles of track and handling millions of daily journeys, it serves as a profound muse for creators. The unique environment of "tube work"—the daily commute, the labor of transit staff, and the physical architecture of the tunnels—directly shapes contemporary entertainment content and popular media. From grit-heavy television dramas to viral TikTok trends, the subterranean world provides a rich canvas for exploring the human condition. The Aesthetic of the Underground in Film and Television
We have arrived at the current phase of tube work: the . Streaming services (Netflix, Hulu, Disney+, Max) have perfected the tube into a seamless, frictionless void.
The influence of tube work is so significant that it has forced traditional media to adapt, creating a symbiotic—and often competitive—relationship.
Have a look at our toolbox which includes data samples from MeteoNet written in python language and our tutorials/documentation which help you explore and cross-check all data types.

Play with it and if you send us your results, we could showcase them on this website!
Download MeteoNetThe data are also available on Kaggle with notebooks to help you explore and cross-check all data types!
You can contribute to challenges and/or propose yours!
Time series prediction
Rainfall nowcasting
Cloud cover nowcasting
Observation data correction
...etc
You did something interesting with our
dataset? Want your project to be showcased here?
Write a blog, contact us on GitHub, and we will come back to you!
Need help? Checkout our documentation, post an issue on our GitHub repository or go to our Slack workspace!
Documentation GitHub SlackYou can find other data on METEO FRANCE public data website. It features real-time, past and forecast data: in situ observations, radar observations, numerical weather models, climate data, climate forecasts and much more!
The Dataset is licenced by METEO FRANCE under Etalab Open Licence 2.0.
Reuse of the dataset is free, subject to an acknowledgement of authorship. For example:
"METEO FRANCE - Original data downloaded from https://meteonet.umr-cnrm.fr/, updated on 30 January 2020".
When using this dataset in a publication, please cite:
Gwennaëlle Larvor, Léa Berthomier, Vincent Chabot, Brice Le Pape, Bruno Pradel, Lior Perez. MeteoNet, an open reference weather dataset by METEO FRANCE, 2020